Monroe Consulting Group, an Executive Recruitment firm, is partnering with an organisation in the Information Technology industry to hire an Artificial Intelligence (AI) Engineer (Mid/Senior). This opportunity is based in Cyberjaya, Malaysia.
Position Overview
The Artificial Intelligence (AI) Engineer will be responsible for designing, developing, and implementing AI-driven solutions for drone and Autonomous Ground Vehicle (AGV) systems. This role plays a critical part in advancing intelligent automation capabilities and driving innovation in autonomous technologies across the organisation.
Key Responsibilities
- Develop AI Solutions: Design, train, and implement machine learning models, including deep learning, reinforcement learning, and predictive algorithms for autonomous systems.
- Optimise Performance: Enhance AI-driven systems to improve navigation, object recognition, decision-making, and overall performance of drones and AGVs.
- Integrate AI with Robotics: Collaborate with hardware and embedded software teams to seamlessly integrate AI models into robotics systems.
- Data Management: Collect, preprocess, and analyse large data sets to develop robust AI solutions.
- Research & Innovation: Stay updated with the latest AI and robotics trends, tools, and methodologies, ensuring the organisation remains at the forefront of technology.
- Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world environments to ensure reliability and accuracy.
- Documentation: Prepare comprehensive technical documentation, including model architectures, algorithms, and results for knowledge sharing and reference.
Key Requirements
Qualifications & Experience
- Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Robotics, or a related field.
- At least 3-4 years of experience working in AI, machine learning, or robotics engineering.
Technical / Functional Expertise
- Proficiency in TensorFlow, PyTorch, or similar machine learning frameworks.
- Strong understanding of machine learning algorithms, neural networks, and computer vision techniques.
- Experience in designing and training deep learning models for tasks such as object detection, image recognition, and natural language processing.
- Knowledge of robotics middle-ware (e.g., ROS, OpenCV) and real-time systems integration.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment.
- Strong mathematical foundation in linear algebra, probability, and optimisation techniques.
Soft Skills & Leadership Competencies
- Strong analytical and problem-solving skills.
- Innovative mindset with a passion for AI, robotics, and emerging technologies.
- Ability to collaborate effectively with cross-functional teams.
- Strong communication and technical documentation skills.
- Ability to manage multiple priorities in a dynamic environment.
- Detail-oriented approach with a commitment to quality and continuous improvement.
